LASsENALASSENALABORATOIRE SPÉCIALISÉ EN SYSTÈMES EMBARQUÉS, NAVIGATION ET AVIONIQUELABORATOIRE SPÉCIALISÉ EN SYSTÈMES EMBARQUÉS, NAVIGATION ET AVIONIQUE

PARTNERS

More info

INNOVATIONS

Data Post-Processing and Event ReconstructionIn case of an accident, the embedded sensor unit will transmit the recorded vehicular dynamicsto a central command and control station in order to quantify the event, to extract the parameters that led to the event and to reproduce the scenario virtually. This procedure will help to better understand the origins and causes of the event and its possible consequences on the passengers.

Laboratory Test BenchModeling navigation algorithms and analysis of risk metrics requires considerable recordings of vehicular dynamics in various scenarios which is difficult and costly. Hence, this project aims to develop a complete simulation platform capableof generating realistic measurements in any possible automotive scenario includingharsh environments, dangerous driving behaviors and accident situations.

Real-Time Analysis MetricsThe proposed multi-sensor architecture enables monitoring of vehicle dynamics such as sudden changes in position, speed, acceleration and orientation of the vehicle, which commonly occur during road incidents or accidents. the data from embedded sensors that are strategically mounted on the vehicle’s body frame will be used for monitoring dangerous driving behaviors and for analysis and diagnosis of car accidents.

Advanced Multi-Sensor Data FusionThis research proposes to combine measurements from a high sensitivity global navigation satellite systems (GNSS) receiver (HSGNSS) with independent data observed from a self-contained inertial navigation system (INS). These mesurements combined with measurements from complementary autonomous sensors such as an odometer and magnetometers will be processed using an advanced nonlinear adaptive fusion algorithm to produce better positioning accuracy in harsh environments.

Crash-detection system

Vehicle dynamic control system

Navigation/driver information system

Body/chassis control system

Satellite sensor

Dual-axis airbag sensor

Low-g chassis control sensor

Airbag

Seatbell pretensioner

Gyroscopes

GPS Solutions

R&D PROJECTOBJECTIVES

> Improve the accuracy and robustness of current location-based services for automotive vehicles in harsh environments > Improve vehicle fleet monitoring and management systems > Optimize and reduce the time to first fix during vehicle startup > Reduce the environmental footprint of motor vehicles > Optimize the energy consumption of embedded vehicle navigators > Provide methods to quantify systematic events and dangerous driving behavior leading to car accidents > Provide tools to correlate automotive vehicle dynamics with corresponding sensor measurements > Provide tools for testing and validation of the developed navigation algorithms and risk factor analysis metrics > Generate virtual reproductions and analysis of car events/accidents based on recorded sensor measurements

PLANNINGSTART: 2013 / END: 2017 Duration: 4 Years

YEAR 1> Research and development on the navigation project platform and test/validation of the developed algorithms in simulation and post-processing

YEAR 2 > Initial implementation of an integrated navigation system with accident analysis metrics

YEAR 3> Prototype implementation and synthesis of the developed algorithms

YEAR 4> Fleet management system enhancements and development of a complete test bench for performance analysis and reproduction of realistic scenarios

TECHNOLOGICAL BENEFITS

For The Environmentto improve energy efficiency and reduce ecological footprint (GHG emissions) of automotive vehicles Trough better driving behavior.

For Driver SafetyPrevention of car accidents by providing robust toolsfor detecting and correcting dangerous driving behavior through insurance cost reduction, etc.

For Canadian IndustryThe novel use of very low cost sensors that will allow Canadian navigation industry to take an important lead over its direct competitors worldwide. Example of new services : PHYD, PWYD, PAYD, etc.

CHALLENGES

This project aims to establish new design methods for robust and efficient automotive navigation and optimal management of a fleet of vehicles in harsh environments. In addition, the project aims to develop innovative metrics for real-time analysis of dangerous driving behaviours and precise reconstruction of car accidents in order to improve global safety of drivers.

> Establishment of new design methodologies and advanced sensor fusion techniques for efficient automotive navigation and optimal vehicle fleet management in harsh environments > Development of innovative metrics for real-time analysis of dangerous driving behavior and robust scoring methods for driver qualifications > Investigation of enhanced usage/driving habit based insurance premiums such as to Pay-As-You-Drive (PAYD), Pay-How-You-Drive (PHYD) and Pay-Where-You-Drive (PWYD) concepts > Development of novel methods for real-time analysis and diagnosis of car accidents > Demonstration of the benefits of green ICT in efforts to improve energy efficiency and reduce GHG emissions of automotive vehicles > Development of an advanced laboratory test-bench/simulator for automotive scenarios and vehicle fleet performance analysis

Vehicle Tracking andAccident Diagnostic

SystemNSERC CRD ProjectPrompt

VTADSVehicle Tracking and Accident Diagnostic System